G. Ananthanarayanan, A. Ghodsi, S. Shenker, and I. Stoica, Effective Straggler Mitigation: Attack of the Clones, USENIX NSDI 2013, pp.185-198, 2013.

G. Ananthanarayanan, S. Kandula, A. Greenberg, I. Stoica, Y. Lu et al., Reining in the Outliers in MapReduce Clusters Using Mantri, USENIX OSDI 2010, pp.1-16, 2010.

Q. Chen, C. Liu, and Z. Xiao, Improving MapReduce Performance Using Smart Speculative Execution Strategy, IEEE Transactions on Computers, vol.63, issue.4, pp.29-42, 2014.
DOI : 10.1109/TC.2013.15

J. Dean and S. Ghemawat, MapReduce, Communications of the ACM, vol.51, issue.1, pp.107-113, 2008.
DOI : 10.1145/1327452.1327492

S. Ibrahim, H. Jin, L. Lu, B. He, G. Antoniu et al., Maestro: Replica-Aware Map Scheduling for MapReduce, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012), pp.435-442, 2012.
DOI : 10.1109/CCGrid.2012.122

URL : https://hal.archives-ouvertes.fr/hal-00670813

S. Ibrahim, H. Jin, L. Lu, S. Wu, B. He et al., LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce in the Cloud, 2010 IEEE Second International Conference on Cloud Computing Technology and Science, pp.17-24, 2010.
DOI : 10.1109/CloudCom.2010.25

S. Ibrahim, T. D. Phan, A. Carpen-amarie, H. E. Chihoub, D. Moise et al., Governing energy consumption in Hadoop through CPU frequency scaling: An analysis, Future Generation Computer Systems, vol.54, pp.219-232, 2016.
DOI : 10.1016/j.future.2015.01.005

URL : https://hal.archives-ouvertes.fr/hal-01166252

Y. Jégou, S. Lantéri, J. Leduc, N. Melab, G. Mornet et al., Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed, The International Journal of High Performance Computing Applications, vol.20, issue.4, pp.481-494, 2006.

H. Jin, S. Ibrahim, L. Qi, H. Cao, S. Wu et al., The MapReduce Programming Model and Implementations. Cloud Computing: Principles and Paradigms, pp.373-390, 2011.
DOI : 10.1002/9780470940105.ch14

G. Lee, B. G. Chun, and H. Katz, Heterogeneity-aware Resource Allocation and Scheduling in the Cloud, pp.4-4, 2011.

J. Leverich and C. Kozyrakis, On the energy (in)efficiency of Hadoop clusters, ACM SIGOPS Operating Systems Review, vol.44, issue.1, pp.61-65, 2010.
DOI : 10.1145/1740390.1740405

T. D. Phan, S. Ibrahim, G. Antoniu, and L. Bouge, On Understanding the Energy Impact of Speculative Execution in Hadoop, 2015 IEEE International Conference on Data Science and Data Intensive Systems, pp.396-403, 2015.
DOI : 10.1109/DSDIS.2015.45

URL : https://hal.archives-ouvertes.fr/hal-01238055

A. Qureshi, Power-Demand Routing in Massive Geo-Distributed Systems, p.MIT, 2010.

K. Ren, Y. Kwon, M. Balazinska, and B. Howe, Hadoop's adolescence, Proceedings of the VLDB Endowment, vol.6, issue.10, pp.853-864, 2013.
DOI : 10.14778/2536206.2536213

X. Ren, G. Ananthanarayanan, A. Wierman, and M. Yu, Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale, ACM SIGCOMM 2015, pp.379-392, 2015.
DOI : 10.1145/2825236.2825254

M. Thottethodi, F. Ahmad, S. Lee, and T. Vijaykumar, Puma: Purdue MapReduce Benchmarks Suite, 2012.

H. Xu and W. C. Lau, Resource Optimization for Speculative Execution in a MapReduce Cluster, IEEE ICNP 2013, pp.1-3, 2013.

H. Xu and W. C. Lau, Task-Cloning Algorithms in a MapReduce Cluster with Competitive Performance Bounds, 2015 IEEE 35th International Conference on Distributed Computing Systems, pp.339-348, 2015.
DOI : 10.1109/ICDCS.2015.42

M. Zaharia, D. Borthakur, J. Sen-sarma, K. Elmeleegy, S. Shenker et al., Delay scheduling, Proceedings of the 5th European conference on Computer systems, EuroSys '10, pp.265-278, 2010.
DOI : 10.1145/1755913.1755940

M. Zaharia, A. Konwinski, A. D. Joseph, R. Katz, and I. Stoica, Improving MapReduce Performance in Heterogeneous Environments, USENIX OSDI, pp.29-42, 2008.

A. C. Zhou, B. He, X. Cheng, and C. T. Lau, A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in Geo-Distributed Clouds, ACM HPDC 2015, pp.223-234, 2015.
DOI : 10.1109/TPDS.2016.2599529

A. C. Zhou, B. He, and C. Liu, Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds, IEEE Transactions on Cloud Computing, vol.4, issue.1, pp.34-48, 2016.
DOI : 10.1109/TCC.2015.2404807